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North South University
- Dhaka, Bangladesh
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COMPUTER-VISION
Disease-Gene-Network
Consists of potential networks that studies disease-gene association. In short, to learn how an alien organism affect the proteins of the human body.Drug-Discovery-Models
Drug-Target-Network
Studies drug-target-interaction.Important LLM Relevent Repo
knowledge graph
Notes to memorize
Projects I want to do
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[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supportin…
🦜🔗 Build context-aware reasoning applications
STriP Net: Semantic Similarity of Scientific Papers (S3P) Network
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Tevatron - A flexible toolkit for neural retrieval research and development.
Study of Longitudinal (temporal) Voice Features for Early Detection and Monitoring of Parkinson’s Disease
As a method to approximate the Normalized Information Distance (NID), the Normalized Compression Distance (NCD) can be seen as a universal distance that has potential for use in classification task…
Natural Language Processing Tutorial for Deep Learning Researchers
LLM (Large Language Model) FineTuning
Examples for aligning, padding and batching sequence labeling data (NER) for use with pre-trained transformer models
Attention is all you need implementation
How Contextual are Contextualized Word Representations?
A collection of pre-trained, state-of-the-art models in the ONNX format
Joint Relation Extraction with Hierarchical Reinforcement Learning
Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and…
PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
đź“– A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
MedViLL official code. (Published IEEE JBHI 2021)
A flask API to predict whether a sentence is positive or negative. It also includes code for training and testing dataset.
An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research art…
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
End-to-End Models for Chemical–Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies
Official implementation of the paper "Improving Sample Quality of Diffusion Models Using Self-Attention Guidance" (ICCV 2023)
[NAACL'21 & ACL'21] SapBERT: Self-alignment pretraining for BERT & XL-BEL: Cross-Lingual Biomedical Entity Linking.